\def\sym#1{\ifmmode^{#1}\else\(^{#1}\)\fi} {\centering\begin{tabular}{l*{5}{c}} \hline\hline
                    &\multicolumn{1}{c}{(1)}&\multicolumn{1}{c}{(2)}&\multicolumn{1}{c}{(3)}&\multicolumn{1}{c}{(4)}&\multicolumn{1}{c}{(5)}\\
                    &\multicolumn{1}{c}{\makecell{Income\\Rank}}&\multicolumn{1}{c}{\makecell{Invoice\\Rank}}&\multicolumn{1}{c}{\makecell{Invoice\\Rank\\Full}}&\multicolumn{1}{c}{\makecell{Property\\Tax\\Paid}}&\multicolumn{1}{c}{\makecell{Certificate\\of\\Sale}}\\
\hline \\ \multicolumn{4}{l}{\textit{Panel A: Predictions}} \\\\[-1ex]
Leader Prediction   &       0.202\sym{***}&       0.323\sym{***}&       0.335\sym{***}&      0.0612         &      0.0378         \\
                    &    (0.0190)         &    (0.0328)         &    (0.0292)         &    (0.0371)         &    (0.0386)         \\
\hline
Mean outcome        &        3.33         &        5.43         &        8.00         &        0.45         &        0.25         \\
Observations        &         876         &         876         &        1349         &         876         &         876         \\
R$^2$               &       0.130         &       0.108         &       0.113         &      0.0204         &      0.0225         \\
within-R$^2$        &       0.113         &       0.103         &       0.112         &       0.002         &       0.001         \\
\hline \\ \multicolumn{5}{l}{\textit{Panel B: + controls for neighbourhood FE}} \\\\[-1ex]
Leader Prediction   &       0.201\sym{***}&       0.301\sym{***}&       0.335\sym{***}&      0.0584\sym{**} &      0.0294         \\
                    &    (0.0194)         &    (0.0344)         &    (0.0293)         &    (0.0257)         &    (0.0179)         \\
\hline
Observations        &         876         &         876         &        1349         &         876         &         876         \\
R$^2$               &       0.251         &       0.123         &       0.113         &       0.143         &       0.181         \\
within-R$^2$        &       0.124         &       0.089         &       0.112         &       0.002         &      -0.000         \\
\hline \\ \multicolumn{5}{l}{\textit{Panel C: + leader characteristic controls}} \\\\[-1ex]
Leader Prediction   &       0.201\sym{***}&       0.301\sym{***}&       0.335\sym{***}&      0.0731\sym{**} &      0.0838\sym{*}  \\
                    &    (0.0196)         &    (0.0347)         &    (0.0295)         &    (0.0322)         &    (0.0500)         \\
\hline
Observations        &         876         &         876         &        1349         &         876         &         876         \\
R$^2$               &       0.251         &       0.123         &       0.113         &       0.144         &       0.183         \\
within-R$^2$        &       0.124         &       0.089         &       0.112         &       0.003         &       0.002         \\
\hline\hline \end{tabular}\par\medskip}{\footnotesize {\it Note: }This Table presents coefficients from regressions of standard plot characteristics on leader's predicitons of those characteristics. Each observation is a leader-plot pair. Column 1 the dependent variable is the within neighbourhood rank of plot owner's income. The dependent variable in columns 2 and 3 is the within neighbourhood rank of invoice value. Column 2 restricts the sample to respondent owners, while column 3 includes all invoices. Column 4 the dependent variable is an indicator if the plot owner reported paying property tax in 2018. Column 5 the dependent variable is an indicator if the plot owner reported having a certificate of sale. Leader treatment group and randomization strata fixed effects are always included as controls. Each panel represents a different set of controls: panel A has no additional controls, panel B adds shina (neighbourhood) fixed effects, and panel C further adds a set of controls (leader gender, leader household income bracket, a dummy for leader's home plot being surveyed, and fixed effects for the ID of the leader's surveyor). Standard errors in parentheses are clustered at leader level. \sym{*}\(p<0.10\),       \sym{**}\(p<0.05\), \sym{***}\(p<0.01\).}
